Journal of Building Performance Simulation

Scope & Guideline

Innovating Building Performance with Peer-Reviewed Research

Introduction

Welcome to your portal for understanding Journal of Building Performance Simulation, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN1940-1493
PublisherTAYLOR & FRANCIS LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2008 to 2024
AbbreviationJ BUILD PERFORM SIMU / J. Build. Perf. Simul.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND

Aims and Scopes

The Journal of Building Performance Simulation focuses on the integration of advanced simulation techniques to optimize building performance, enhance energy efficiency, and ensure occupant comfort. The journal's aims encompass a wide array of methodologies and applications in building energy modeling, control strategies, and performance assessment.
  1. Building Energy Modeling:
    Research in this area emphasizes the development and application of models to predict energy consumption, thermal performance, and environmental impact of buildings, using both traditional and advanced simulation techniques.
  2. Machine Learning and Data-Driven Approaches:
    This scope includes the use of machine learning algorithms to improve building performance predictions, optimize control strategies, and analyze occupant behavior, highlighting the journal's commitment to innovative computational methods.
  3. Thermal Comfort and Indoor Environment:
    Papers often explore the relationship between building design, thermal comfort, and indoor air quality, focusing on how these factors affect occupant satisfaction and health.
  4. Resilience and Adaptation to Climate Change:
    This area addresses the need for buildings to adapt to extreme weather events and climate change through innovative design and retrofitting strategies, ensuring long-term sustainability.
  5. Integration of Renewable Energy Systems:
    Research frequently investigates the incorporation of renewable energy technologies, such as solar and geothermal systems, into building designs, assessing their performance and impact on energy efficiency.
  6. Building Simulation and Control Strategies:
    The journal emphasizes advancements in simulation tools and control methodologies, aiming to enhance operational efficiency and energy management within building systems.
The Journal of Building Performance Simulation has identified several trending and emerging themes that reflect the evolving landscape of building performance research. These themes highlight the journal's responsiveness to contemporary challenges and innovations in the field.
  1. Advanced Machine Learning Applications:
    Recent publications increasingly leverage advanced machine learning techniques for predictive modeling and optimization in building performance, reflecting a broader trend towards data-driven approaches in the industry.
  2. Digital Twin Technology:
    The emergence of digital twin methodologies for real-time performance monitoring and simulation in buildings is a growing focus, indicating a shift towards integrated and responsive building management systems.
  3. Resilience Planning and Climate Adaptation:
    With climate change posing significant challenges, the journal is seeing a rise in studies that address building resilience and adaptation strategies, emphasizing the importance of sustainable design practices.
  4. Occupant-Centric Design and Control:
    Research is increasingly focused on occupant-centric approaches that prioritize user comfort and behavior, utilizing smart technologies to tailor building environments to individual needs.
  5. Integration of Renewable Energy and Smart Grids:
    There is a notable trend towards exploring the integration of renewable energy systems and smart grid technologies within building performance simulations, reflecting a growing emphasis on sustainability and energy independence.

Declining or Waning

While the Journal of Building Performance Simulation continues to advance in many areas, certain themes have seen a decline in focus over recent years. This section outlines those waning scopes, reflecting shifts in research priorities within the journal.
  1. Traditional Energy Efficiency Metrics:
    There has been a noticeable shift away from conventional metrics for assessing energy efficiency, as newer methodologies and machine learning approaches gain prominence, rendering older methods less relevant.
  2. Generalized Occupant Behavior Studies:
    Prior research often generalized occupant behavior without specific context; however, the trend is moving towards more nuanced, data-driven studies that consider specific demographics and behaviors, leading to a decline in broad occupant studies.
  3. Static Building Performance Assessments:
    Static models that do not account for dynamic variables or real-time data have become less favored, as the field increasingly values adaptive and responsive simulation techniques.
  4. Basic HVAC System Evaluations:
    Research focusing solely on traditional HVAC systems without integrating smart technologies or advanced controls is becoming less common, as the journal emphasizes innovative control strategies that enhance energy performance.

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